Real-time water quality detection based on fluctuation feature analysis with the LSTM model

Real-time water quality detection based on fluctuation feature analysis with the LSTM model

Signal analysis and anomaly detection for water pollution early warning systems are important and necessary. In view of the nonlinear and volatile characteristics of water quality time series, this paper proposes a new method for water anomaly detection based on fluctuation feature analysis. The met...

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Hlavní autoři: Lixiang Wang, Huilin Dong, Yuqi Cao, Dibo Hou, Guangxin Zhang
Médium: Článek
Jazyk:English
Vydáno: IWA Publishing 2023-01-01
Edice:Journal of Hydroinformatics
Témata:
anomaly detection
feature extraction
lstm networks
water time series prediction
On-line přístup:http://jhydro.iwaponline.com/content/25/1/140

Internet

http://jhydro.iwaponline.com/content/25/1/140

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